A Comparison Framework for Spectrogram Track Detection Algorithms

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Title of host publicationComputer Recognition Systems
DatePublished - 1 May 2009
Pages119
Number of pages126
PublisherSpringer
EditorsMarek Kurzynski , Michal Wozniak
Volume3
Original languageEnglish
ISBN (Electronic)9783540939054
ISBN (Print)9783540939047

Publication series

NameAdvances in Intelligent and Soft Computing
PublisherSpringer
Volume57/2009
ISSN (Print)1615-3871
ISSN (Electronic)1860-0794

Abstract

This paper presents a method to facilitate performance comparisons between different spectrogram track detection algorithms tested upon different data sets. There is no standard test database which is carefully tailored to test the different aspects of such algorithms and real data is often proprietary in nature. This naturally hinders the ability to perform comparisons between a developing algorithm and those which exist in the literature using the same test database. The method presented in this paper will allow researchers to present, in a graphical way, information regarding the data on which they test their algorithm while not disclosing proprietary information.

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© Springer 2009. This is an author produced version of the published paper. Uploaded in accordance with the publisher's self-archiving policy.

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